Parameters with prefix numerics. More...
Variables | |
constexpr Param< double > | BARRIERCONVTOL { "numerics/barrierconvtol" } |
LP convergence tolerance used in barrier algorithm. | |
constexpr Param< double > | BOUNDSTREPS { "numerics/boundstreps" } |
minimal relative improve for strengthening bounds | |
constexpr Param< double > | CHECKFEASTOLFAC { "numerics/checkfeastolfac" } |
feasibility tolerance factor; for checking the feasibility of the best solution | |
constexpr Param< double > | DUALFEASTOL { "numerics/dualfeastol" } |
feasibility tolerance for reduced costs in LP solution | |
constexpr Param< double > | EPSILON { "numerics/epsilon" } |
absolute values smaller than this are considered zero | |
constexpr Param< double > | FEASTOL { "numerics/feastol" } |
feasibility tolerance for constraints | |
constexpr Param< double > | HUGEVAL { "numerics/hugeval" } |
values larger than this are considered huge and should be handled separately (e.g., in activity computation) | |
constexpr Param< double > | INFINITY { "numerics/infinity" } |
values larger than this are considered infinity | |
constexpr Param< double > | LPFEASTOLFACTOR { "numerics/lpfeastolfactor" } |
factor w.r.t. | |
constexpr Param< double > | PSEUDOCOSTDELTA { "numerics/pseudocostdelta" } |
minimal objective distance value to use for branching pseudo cost updates | |
constexpr Param< double > | PSEUDOCOSTEPS { "numerics/pseudocosteps" } |
minimal variable distance value to use for branching pseudo cost updates | |
constexpr Param< double > | RECOMPUTEFAC { "numerics/recomputefac" } |
minimal decrease factor that causes the recomputation of a value (e.g., pseudo objective) instead of an update | |
constexpr Param< double > | SUMEPSILON { "numerics/sumepsilon" } |
absolute values of sums smaller than this are considered zero | |
Parameters with prefix numerics.
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constexpr |
LP convergence tolerance used in barrier algorithm.
Definition at line 5098 of file parameters.hpp.
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constexpr |
minimal relative improve for strengthening bounds
Definition at line 5100 of file parameters.hpp.
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constexpr |
feasibility tolerance factor; for checking the feasibility of the best solution
Definition at line 5091 of file parameters.hpp.
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constexpr |
feasibility tolerance for reduced costs in LP solution
Definition at line 5096 of file parameters.hpp.
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constexpr |
absolute values smaller than this are considered zero
Definition at line 5085 of file parameters.hpp.
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constexpr |
feasibility tolerance for constraints
Definition at line 5089 of file parameters.hpp.
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constexpr |
values larger than this are considered huge and should be handled separately (e.g., in activity computation)
Definition at line 5108 of file parameters.hpp.
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constexpr |
values larger than this are considered infinity
Definition at line 5083 of file parameters.hpp.
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constexpr |
factor w.r.t.
primal feasibility tolerance that determines default (and maximal) primal feasibility tolerance of LP solver
Definition at line 5094 of file parameters.hpp.
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constexpr |
minimal objective distance value to use for branching pseudo cost updates
Definition at line 5104 of file parameters.hpp.
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constexpr |
minimal variable distance value to use for branching pseudo cost updates
Definition at line 5102 of file parameters.hpp.
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constexpr |
minimal decrease factor that causes the recomputation of a value (e.g., pseudo objective) instead of an update
Definition at line 5106 of file parameters.hpp.
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constexpr |
absolute values of sums smaller than this are considered zero
Definition at line 5087 of file parameters.hpp.